Corporate TensorFlow Training Course

The instructor-led TensorFlow training course offered by Edstellar emphasizes upskilling teams with the skills and knowledge to excel in learning applications and develop large numerical computations. Experts cover architecture, tensors, graphs, dimensions, ranks, variables, and examples through this customized training.

12 - 16 hrs
Instructor-led (On-site/Virtual)
Language
English
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TensorFlow Training
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TensorFlow Corporate Training Course

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Drive Team Excellence with TensorFlow Training for Employees

Empower your teams with expert-led on-site/in-house or virtual/online TensorFlow Training through Edstellar, a premier corporate training company for organizations globally. Our tailored TensorFlow corporate training course equips your employees with the skills, knowledge, and cutting-edge tools needed for success. Designed to meet your specific needs, this TensorFlow group training program ensures your team is primed to drive your business goals. Transform your workforce into a beacon of productivity and efficiency.

TensorFlow is an open-source machine learning framework developed by Google that has become one of the most popular tools for building and deploying machine learning models. Organizations need TensorFlow due to its powerful and flexible ecosystem that enables the development and deployment of machine learning models at scale.  The TensorFlow training course is designed to provide professionals with a comprehensive understanding of TensorFlow, including its architecture, programming interfaces, and practical applications.

Edstellar TensorFlow training course stands out due to its unique blend of virtual/onsite TensorFlow training options, allowing professionals to choose the learning mode that best suits their needs. This flexibility ensures that learners can access high-quality TensorFlow Instructor-led training regardless of location. Edstellar emphasizes curriculum customization to cater to different industries' requirements, making the learning experience highly relevant and applicable to professionals' professional contexts. Additionally, the course prioritizes practical experience, offering extensive hands-on projects and exercises that simulate real-world challenges.

Key Skills Employees Gain from TensorFlow Training

TensorFlow skills corporate training will enable teams to effectively apply their learnings at work.

  • Machine Learning Modeling
  • Custom Algorithm Implementation
  • TensorFlow Deployment
  • Machine Learning Integration
  • End-to-End Pipeline Creation
  • Deep Learning Techniques

TensorFlow Training for Employees: Key Learning Outcomes

Edstellar’s TensorFlow training for employees will not only help your teams to acquire fundamental skills but also attain invaluable learning outcomes, enhancing their proficiency and enabling application of knowledge in a professional environment. By completing our TensorFlow workshop, teams will to master essential TensorFlow and also focus on introducing key concepts and principles related to TensorFlow at work.


Employees who complete TensorFlow training will be able to:

  • Build and train machine learning models using TensorFlow
  • Design and implement custom machine learning algorithms using TensorFlow
  • Develop and deploy TensorFlow models at scale to support large-scale applications and services
  • Integrate TensorFlow with other tools and technologies to create end-to-end machine-learning pipelines
  • Implement deep learning techniques, such as convolutional and recurrent neural networks, to solve real-world problems

Key Benefits of the TensorFlow Corporate Training

Attending our TensorFlow classes tailored for corporations offers numerous advantages. Through our on-site/in-house or virtual/online TensorFlow training classes, participants will gain confidence and comprehensive insights, enhance their skills, and gain a deeper understanding of TensorFlow.

  • Boosts employees' skills in deep learning, making them valuable assets for tackling complex AI projects
  • Knowledge gained from the training enhances analytical thinking and problem-solving abilities, preparing professionals to tackle future challenges in AI and machine learning
  • Learn the foundational and advanced concepts of TensorFlow, enabling professionals to understand and leverage the full potential of this powerful machine-learning framework
  • Develop practical experience through hands-on projects that simulate real-world scenarios, ensuring that professionals can apply TensorFlow techniques effectively in their daily work
  • Upskill and many other benefits include increased team productivity, better decision-making capabilities, and the ability to stay competitive in a rapidly evolving technological landscape
  • Equip your team with the skills to implement, train, and optimize neural networks, improving their ability to solve complex problems and innovate in product development and process automation

TensorFlow Training Topics and Outline

Our virtual and on-premise TensorFlow training curriculum is divided into multiple modules designed by industry experts. This TensorFlow training for organizations provides an interactive learning experience focused on the dynamic demands of the field, making it relevant and practical.

  1. What is TensorFlow?
    • TensorFlow basics
    • TensorFlow ecosystem overview
  2. Installation and setup
    • Installing TensorFlow
    • Configuring the environment
  3. Building your first TensorFlow model
    • Creating tensors
    • Defining operations
    • Running a TensorFlow session
  1. Introduction to Keras
    • Keras overview
    • Keras vs. TensorFlow
  2. Building simple ML models
    • Creating sequential models
    • Adding layers to models
    • Compiling models
  1. Data loading techniques
    • Loading data from different sources
    • Data preprocessing
  2. Data augmentation
    • Image data augmentation
    • Text data augmentation
  1. Custom loss functions
    • Defining custom loss functions
    • Implementing loss functions
  2. Custom layers and models
    • Creating custom layers
    • Building custom models
  1. Introduction to distributed training
    • Distributed learning strategies
    • TensorFlow's distribution strategy
  2. Setting up distributed training
    • Multi-GPU training
    • Distributed cluster setup
  1. Image classification
    • Convolutional Neural Networks (CNNs)
    • Image classification techniques
  2. Object detection
    • Detecting objects in images
    • YOLO (You Only Look Once)
  1. Text classification
    • Text preprocessing
    • Building text classification models
  2. Sequence-to-sequence models
    • Encoder-decoder architectures
    • Applications in natural language processing
  1. Audio data processing
    • Feature extraction from audio
    • Speech recognition
  2. Sound generation
    • Generating sound with neural networks
    • Music generation
  1. Working with structured data
    • Data preparation for structured data
    • Feature engineering
  2. Regression and classification
    • Predictive modeling with structured data
    • Evaluating model performance
  1. Generative Adversarial Networks (GANs)
    • GAN architecture
    • Generating images with GANs
  2. Variational Autoencoders (VAEs)
    • VAE architecture
    • Latent space exploration
  1. Model optimization techniques
    • Model quantization
    • Model pruning
  2. TensorFlow Serving for model deployment
    • Serving TensorFlow models in production
    • Scalability and efficiency
  1. Interpreting model decisions
    • Model explainability methods
    • Visualizing model insights
  2. Model monitoring and maintenance
    • Detecting model drift
    • Re-training and updating models
  1. Introduction to reinforcement learning
    • Reinforcement learning basics
    • Markov decision processes (MDPs)
  2. Reinforcement learning with TensorFlow
    • Implementing RL algorithms
    • Training agents in environments
  1. Introduction to tf.Estimator
    • Estimator overview
    • Advantages of using tf.Estimator
  2. Building custom Estimators
    • Creating custom Estimators for unique tasks
    • Integrating Estimators into TensorFlow workflows

This Corporate Training for TensorFlow is ideal for:

What Sets Us Apart?

TensorFlow Corporate Training Prices

Our TensorFlow training for enterprise teams is tailored to your specific upskilling needs. Explore transparent pricing options that fit your training budget, whether you're training a small group or a large team. Discover more about our TensorFlow training cost and take the first step toward maximizing your team's potential.

Small Group
Large Groups

Request for a quote to know about our TensorFlow corporate training cost and plan the training initiative for your teams. Our cost-effective TensorFlow training pricing ensures you receive the highest value on your investment.

Request for a Quote

Our customized corporate training packages offer various benefits. Maximize your organization's training budget and save big on your TensorFlow training by choosing one of our training packages. This option is best suited for organizations with multiple training requirements. Our training packages are a cost-effective way to scale up your workforce skill transformation efforts..

Starter Package

125 licenses

64 hours of training (includes VILT/In-person On-site)

Tailored for SMBs

Most Popular
Growth Package

350 licenses

160 hours of training (includes VILT/In-person On-site)

Ideal for growing SMBs

Enterprise Package

900 licenses

400 hours of training (includes VILT/In-person On-site)

Designed for large corporations

Custom Package

Unlimited licenses

Unlimited duration

Designed for large corporations

View Corporate Training Packages

TensorFlow Course Completion Certificate

Upon successful completion of the TensorFlow training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development. This certificate validates the employees' acquired skills and serves as a powerful motivator, inspiring them to further enhance their expertise and contribute effectively to organizational success.

Target Audience for TensorFlow Training Course

The TensorFlow training course is ideal for data scientists, machine learning engineers, data analysts, AI developers, software engineers, project managers, and business analysts.

The TensorFlow training program can also be taken by professionals at various levels in the organization.

TensorFlow training for managers

TensorFlow training for staff

TensorFlow training for leaders

TensorFlow training for executives

TensorFlow training for workers

TensorFlow training for businesses

TensorFlow training for beginners

TensorFlow group training

TensorFlow training for teams

TensorFlow short course

Prerequisites for TensorFlow Training

Before taking the TensorFlow training course, teams must have a basic understanding of machine learning concepts and familiarity with Python programming.

Assess the Training Effectiveness

Bringing you the Best TensorFlow Trainers in the Industry

The instructor-led TensorFlow training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in TensorFlow Access practices.

Ashutoshh
Ashutoshh
Jaipur, India
Trainer since
July, 2016
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Training Delivery Modes for TensorFlow Group Training

At Edstellar, we understand the importance of impactful and engaging training for employees. To ensure the training is more interactive, we offer Face-to-Face onsite/in-house or virtual/online TensorFlow training for companies. This method has proven to be the most effective, outcome-oriented and well-rounded training experience to get the best training results for your teams.

Virtuval
Virtual

Instructor-led Training

Engaging and flexible online sessions delivered live, allowing professionals to connect, learn, and grow from anywhere in the world.

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On-Site
On-Site

Instructor-led Training

Customized, face-to-face learning experiences held at your organization's location, tailored to meet your team's unique needs and objectives.

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Off-Site
Off-site

Instructor-led Training

Interactive workshops and seminars conducted at external venues, offering immersive learning away from the workplace to foster team building and focus.

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